You Can’t Buy Your Way Out of the Hardware Crunch

AI is consuming compute faster than enterprises can add it. Memory prices are rising, data
center capacity is tightening, and new hardware can take months to arrive. Meanwhile, the typical enterprise server operates at just 40% to 50% capacity.

Discover how to recapture underutilized capacity, get more from the infrastructure you already own, and build the flexibility to support AI and traditional workloads without waiting for your next hardware refresh

Overview

The traditional response to infrastructure constraints was simple: buy more.

That strategy no longer works.

As AI reshapes hardware demand, IT leaders need a different approach to capacity: recapture
what’s underutilized, optimize what you own, and expand where it makes sense.

From Constraint to Capacity explores how a software-defined infrastructure strategy can help
organizations increase utilization, control costs, reduce dependency on scarce hardware, and
modernize without disruptive re-platforming.

What You’ll Learn

● Turn idle infrastructure into usable capacity: Discover how converging VM and
container workloads can help move server utilization from roughly 40% toward 80%.
● Reduce dependence on scarce hardware: Learn how NVMe memory tiering, GPU
sharing, and broader silicon choice can help organizations get more from existing
resources.
● Modernize without ripping and replacing: Explore how unified infrastructure
management can reduce complexity while allowing organizations to modernize
incrementally on the hardware they already own.
● Expand capacity without owning it: See how a consistent infrastructure approach
across the data center, public cloud, MSPs, and AI neoclouds can provide access to
additional compute without re-platforming.
● Keep infrastructure options open: Learn how an open approach across Linux,
virtualization, Kubernetes, hardware, and cloud can reduce vendor dependency and
provide greater flexibility as infrastructure needs change.

Key Proof Points

40–50% typical enterprise server utilization
~80% potential utilization when VM and container workloads are converged
258% average three-year ROI found by IDC for organizations using SUSE Rancher Prime with
Virtualization

CTA Copy

Stop waiting for capacity. Start recapturing it.

The capacity you need may already be sitting in your existing infrastructure. Download From
Constraint to Capacity to learn how to optimize what you own, expand your options, and
prepare your infrastructure for growing AI demands.

CTA: Download the White Paper

Promotional Abstract

AI is consuming compute faster than many enterprises can add it. Memory prices are rising,
hardware availability is constrained, and data center capacity is tightening. Yet the typical
enterprise server operates at just 40% to 50% capacity. From Constraint to Capacity explores
how IT leaders can recapture underutilized compute, consolidate VM and container workloads, extend existing infrastructure, and add capacity without disruptive re-platforming. Discover how a software-defined approach can help you get more from the hardware you already own, control infrastructure costs, and build the flexibility needed to support AI and traditional workloads

You Can’t Buy Your Way Out of the Hardware Crunch

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